.xlsx
✓ Professional Edition
Updated Q2 2026

AI GenAI Risk Assessment

A structured risk assessment template built specifically for generative AI systems. Covers 43 GenAI-specific risks across hallucination, data poisoning, prompt injection, bias amplification, insecure output handling, IP exposure, and tool misuse categories. Includes a 47-control mitigation library and assessment history tracker. Grounded in NIST AI 600-1, OWASP LLM Top 10 (10/10 coverage), and OWASP AI Exchange.

Tabs

Risks

Frameworks

2–3hr

To Deploy

NIST AI RMF 1.0
NIST AI 600-1
OWASP LLM Top 10
OWASP AI Exchange

Build vs. Buy

From scratch

Research GenAI risk sources5 hrs = $75

Build 5 tabs + risk entries6 hrs = $90

Test & validate2 hrs = $30

Map to 3 sources1 hrs = $15

14 hours$210

This template

Purchase$50.00

Customize for your org2 hrs = $30

Risk entries pre-builtIncluded

Mitigation libraryIncluded

2 hours$45

$165 saved

12 hours back | 11:1 ROI on $15.00

At $15/hr. The price of this template as the hourly rate

“What if I use AI to write it?”

AI makes drafting faster, but it doesn’t reduce the total work. You still need the source framework documents, a way to verify what the AI produces, and SME-level expertise to catch what it gets wrong. AI hallucinates article numbers, invents control IDs, and generates crosswalk tables that look authoritative but aren’t. Every citation still has to be checked against the actual standard. The work shifts from writing to verification, and verification takes just as long.

~13hwith AI + expert verification

2hwith this template

5tabs included

3source PDFs read

$50.00

One-time purchase · Instant download

✓Fully editable Excel .xlsx. customize for your organization
✓5 worksheets: Disclaimer & Usage, Dashboard, GenAI Risk Assessment (main), Mitigation Library, Assessment History
✓Aligned to 3 sources: NIST AI RMF 1.0, NIST AI 600-1 GenAI Profile, OWASP LLM Top 10 (10/10 coverage)
✓43 GenAI-specific risk entries across 8 categories including hallucination, prompt injection, insecure output handling, bias, IP exposure, and tool misuse
✓Pre-built mitigation library with 47 controls mapped to specific GenAI risk categories
✓Updated Q2 2026. Dashboard with 14 status columns, assessment history for tracking risk evolution over time

.xlsx
NIST AI 600-1
OWASP
NIST AI RMF
✦ Q2 2026 v2

Overview

What this template does

1 / 10

Click image or thumbnail to browse · 10 screenshots shown

Generative AI introduces risk categories that traditional risk assessments don’t cover. Hallucination, prompt injection, training data poisoning, bias amplification, insecure output handling, and intellectual property exposure are GenAI-specific threats that require purpose-built assessment methodology. Generic risk templates leave dangerous gaps when applied to LLMs, image generators, and code assistants.

This template provides a structured GenAI risk assessment workbook grounded in three authoritative sources: NIST AI 600-1 (the GenAI-specific profile of the AI RMF), OWASP LLM Top 10 with full 10/10 coverage (LLM01 through LLM10), and NIST AI RMF 1.0 (the foundational risk management methodology). Each of the 43 pre-defined risk entries includes a risk description, likelihood and impact scoring, inherent risk calculation, existing controls, residual risk, and direct framework references.

The Professional Edition includes a mitigation library with 47 pre-built controls mapped to specific GenAI risk categories. Covering technical controls (guardrails, content filtering, retrieval augmentation), procedural controls (human review workflows, output validation), and governance controls (usage policies, vendor management). The assessment history tab tracks how your GenAI risk posture evolves over time, supporting continuous improvement reporting.

What’s Inside

5 Tabs · 43 Risks · Audit-Aligned Structure

43 pre-defined generative AI risk entries across 8 categories: hallucination and confabulation, training data poisoning, prompt injection and jailbreaking, bias amplification, intellectual property exposure, privacy leakage, insecure output handling, and tool misuse/model dependency risks. Full OWASP LLM Top 10 coverage (10/10). Each entry includes risk description, likelihood, impact, inherent risk score, existing controls, residual risk, and framework references.

NIST AI 600-1OWASP LLM Top 10OWASP AI Exchange

Visual summary of GenAI risk posture including total risks by severity, category distribution, treatment status, and mitigation coverage. Formula-driven from the assessment tab. Updates as you complete the assessment. Identifies highest-priority risks and mitigation gaps.

NIST MEASURERisk Analytics

47 pre-built mitigation controls mapped to specific GenAI risk categories. Covers technical controls (guardrails, content filtering, retrieval augmentation), procedural controls (human review workflows, output validation), and governance controls (usage policies, vendor management).

NIST MANAGEOWASP Controls

Longitudinal tracking of assessment results over time. Records assessment date, assessor, total risks identified, risk distribution by severity, and key changes from previous assessment. Supports continuous improvement and trend analysis.

NIST MEASURE 3.1Continuous Improvement

Step-by-step guide for conducting a GenAI risk assessment including risk identification methodology, scoring criteria, mitigation selection process, tab guide, and dashboard interpretation. Includes legal disclaimer, scoring scale reference, and 10-step usage instructions.

Setup GuideTab GuideScoring Scale

Audience

Who deploys this template

🛡️

AI Security Engineer

Uses the assessment to systematically evaluate GenAI-specific attack vectors including prompt injection, data poisoning, and model extraction. Maps findings to technical mitigation controls.

📈

Chief Risk Officer

Reviews the dashboard for aggregate GenAI risk exposure. Uses assessment history to track risk posture trends and report on GenAI risk management effectiveness to the board.

⚖️

Compliance Officer

Documents GenAI risk assessment results as evidence for NIST AI RMF compliance and organizational due diligence. Uses framework references for regulatory reporting.

🔧

ML Engineer / Data Scientist

Identifies technical risks specific to the GenAI models they develop or deploy. Uses the mitigation library to select appropriate technical controls during development.

Framework Alignment

How this template maps to standards

NIST

NIST AI 600-1 GenAI Profile

Direct alignment to the GenAI-specific risk categories defined in NIST AI 600-1. Risk entries reference specific sections covering confabulation, data privacy, environmental impact, and information security risks unique to generative AI.

GAI RisksContent ProvenanceData Privacy

OWASP AI Exchange

Full 10/10 OWASP LLM Top 10 coverage. Risk categories and mitigation controls grounded in the OWASP AI security threat taxonomy. Covers all top GenAI attack vectors including prompt injection (LLM01), insecure output handling (LLM02), training data poisoning (LLM03), insecure plugin/tool use (LLM05, LLM06), and more.

LLM01LLM02LLM03LLM05LLM0610/10

NIST

NIST AI RMF 1.0

Assessment methodology aligned to the MAP function for risk identification and MEASURE function for risk analysis. Dashboard supports MANAGE function requirements for ongoing monitoring.

MAP 1.1MEASURE 2.1MANAGE 4.1

Value Proposition

Build from scratch vs. use this template

✓ With This Template

✓5 tabs with 43 risks pre-defined, mitigation library with 47 controls included.

✓Dashboard auto-calculates risk posture from assessment entries.

✓Assessment history tab for tracking risk evolution over time.

✓Citations to NIST AI 600-1 and OWASP verified against source documents.

✓Mitigation controls mapped to specific GenAI risk categories. Ready to select.

✓Ready in 2–3 hours instead of researching from scratch.

✗ From Scratch

✗14+ hours. GenAI risks are rapidly evolving and require synthesis across multiple sources.

✗NIST AI 600-1 is 64 pages, OWASP AI Exchange is 300+ pages. Significant reading required.

✗Most risk templates don’t cover GenAI at all. Traditional IT risk categories are insufficient.

✗Mitigation library requires synthesis across multiple sources. No single reference covers all controls.

✗Scoring criteria for GenAI risks differ from traditional IT risks. Likelihood models need adaptation.

✗Framework crosswalk across NIST AI 600-1, OWASP, and NIST AI RMF requires deep expertise in all three.

Already have a risk assessment? Use the mitigation library and GenAI-specific risk entries to extend your existing process for generative AI systems.

“Why is this only $15?”

I’ve been building governance documentation since 2012. That year I helped my healthcare analytics company earn its first HITRUST certification. Since then I’ve created and managed compliance documentation for SOC 2, PCI DSS, HITRUST, and ISO 27001 programs across enterprise organizations. I have a writing degree and I genuinely like this work.

HITRUST CSF
SOC 2
PCI DSS
ISO 27001
14 Years in GRC
Writing Degree

Credentials don’t explain the price though. This does:

I want AI adopted responsibly. I don’t want my friends, my family, or my kids dealing with threats and risks that come from deploying AI without governance. Organizations will take the path that earns them the most money. That’s how business works. So I feel obligated to put quality documentation out at a price where governance isn’t something only Fortune 500 companies can afford. I don’t need to charge thousands of dollars to make a difference. I care about helping where I can.

You’re building something that matters. Documentation that earns trust from your board, your customers, and your team. And it has to be right.

The citations in these templates were checked against the published standards. The actual ISO 42001:2023 PDF, the EU AI Act regulation text, the NIST AI RMF 1.0 document. Control IDs, article numbers, crosswalk mappings. This is practitioner-built documentation from someone who’s sat in the audits, written the remediation plans, and knows what survives a compliance review.

Derrick Jackson // Founder, Tech Jacks Solutions

Related Templates

Often bought together

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Get the full AI Risk Management Command Bundle

The AI Risk Management Command Bundle includes this GenAI Assessment plus 11 more risk management documents and tools. $449 instead of $639 if purchased individually.

Important

This template is a starting point, not a finished product. It’s designed to accelerate your governance program by giving you a professionally structured foundation with verified framework citations. It doesn’t replace legal counsel, compliance review, or organizational judgment. Every organization is different. You’ll need to customize the content for your specific regulatory context, risk tolerance, and operational environment. We recommend routing your completed assessment through your legal, compliance, and security teams before adoption. What you’re buying is a jumpstart that saves you weeks of research and drafting, not a guarantee of compliance. Framework citations reflect regulations as of Q1 2026. Regulatory frameworks evolve. Check for updates to NIST AI 600-1 and OWASP AI Exchange before your annual risk review. Single organization license. All purchases include a 14-day money-back guarantee. If the template does not meet your needs, contact us for a full refund.